Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for determining a placement of links on a document, the method comprising: accessing a link distribution function specifying a desired spatial configuration for placing links in a document; determining that a set of terms are present within the document, wherein each term included in the set of terms is predetermined to be associated with a corresponding link; identifying textual portions of the document that correspond to locations of the set of terms determined to be present within the document; determining that a subset of the textual portions satisfy the link distribution function, wherein each textual portion included in the subset of the textual portions includes a spatial distribution of terms that satisfies the desired spatial configuration for placing links in the document; and placing links corresponding to the set of terms in the document at the subset of the textual portions.
This invention relates to automated link placement in documents to improve readability and user experience. The problem addressed is the need to strategically distribute hyperlinks within text to avoid clutter while ensuring key terms are linked. The method involves accessing a predefined link distribution function that defines an optimal spatial arrangement for links, such as spacing or clustering rules. The system scans the document to identify terms that should be linked, then evaluates their positions to determine if they meet the distribution criteria. Only textual sections where the terms' spatial arrangement aligns with the desired configuration are selected for link placement. This ensures links are distributed in a structured manner, enhancing document usability without disrupting readability. The approach is particularly useful for automated content generation, where manual link placement is impractical. The invention improves upon prior methods by enforcing spatial constraints, reducing visual noise, and maintaining logical link distribution.
2. The method of claim 1 , wherein: the desired spatial configuration indicates a maximum number of links to be placed in a given textual region of the document; and a number of terms determined to be present within each textual portion included in the subset of the textual portions is below the maximum number of links indicated by the desired spatial configuration.
3. The method of claim 2 , further comprising applying a Monte-Carlo function to the link distribution function.
4. The method of claim 3 , wherein applying the Monte-Carlo function comprises applying a Metropolis-Hastings Monte Carlo function that minimizes a quantity of operations that are performed in determining that the subset of the textual portions satisfy the link distribution function.
5. The method of claim 1 , wherein: the set of terms are specified in a dictionary; and the dictionary specifies a list of terms, and a Uniform Resource Locator (URL) associated with each term included in the list of terms.
6. The method of claim 5 , wherein placing links corresponding to the set of terms in the document at the subset of the textual portions by: identifying, based on the dictionary, a URL associated with each term included in the set of terms, and placing links representing URLs identified to be associated with the set of terms in the document at the subset of the textual portions.
7. The method of claim 5 , wherein: the desired spatial configuration indicates a link density for inserting links into a given textual region of the document, wherein the link density reflects a number of characters within a string of characters that are associated with a link to be placed in the document.
This invention relates to document processing, specifically methods for inserting hyperlinks into a document based on a desired spatial configuration. The problem addressed is the need to control the distribution and density of hyperlinks within a document to improve readability and user experience. The method involves analyzing a given textual region of the document and determining a link density, which specifies the number of characters within a string that should be associated with a hyperlink. The link density is used to guide the placement of links, ensuring that the document maintains a balanced and user-friendly structure. The method may also involve adjusting the link density based on factors such as the document's layout, content type, or user preferences. By dynamically controlling link density, the invention aims to enhance document navigation while preserving readability. The approach can be applied to various document formats, including web pages, electronic books, and other digital texts. The invention ensures that hyperlinks are inserted in a way that aligns with the desired spatial configuration, optimizing both functionality and aesthetics.
8. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: accessing a link distribution function specifying a desired spatial configuration for placing links in a document; determining that a set of terms are present within the document, wherein each term included in the set of terms is predetermined to be associated with a corresponding link; identifying textual portions of the document that correspond to locations of the set of terms determined to be present within the document; determining that a subset of the textual portions satisfy the link distribution function, wherein each textual portion included in the subset of the textual portions includes a spatial distribution of terms that satisfies the desired spatial configuration for placing links in the document; and placing links corresponding to the set of terms in the document at the subset of the textual portions.
9. The system of claim 8 , wherein: the desired spatial configuration indicates a maximum number of links to be placed in a given textual region of the document; and a number of terms determined to be present within each textual portion included in the subset of the textual portions is below the maximum number of links indicated by the desired spatial configuration.
This invention relates to a system for managing the placement of hyperlinks within a document to optimize readability and user experience. The system addresses the problem of excessive or poorly distributed hyperlinks in digital documents, which can disrupt the reading flow and degrade usability. The system determines a desired spatial configuration for hyperlink placement, which specifies constraints such as the maximum number of links allowed in a given textual region of the document. The system analyzes the document to identify textual portions and evaluates the number of terms (e.g., keywords or phrases) within each portion that could be linked. If the number of terms in a portion is below the maximum allowed by the spatial configuration, the system ensures that the links are distributed appropriately to avoid overcrowding. The system may also prioritize linking based on relevance or user preferences, ensuring that important terms are linked while maintaining a balanced and readable layout. This approach enhances document usability by preventing excessive linking while still providing useful navigation options.
10. The system of claim 9 , wherein the operations further comprise applying a Monte-Carlo function to the link distribution function.
11. The system of claim 10 , wherein applying the Monte-Carlo function comprises applying a Metropolis-Hastings Monte Carlo function that minimizes a quantity of operations that are performed in determining that the subset of the textual portions satisfy the link distribution function.
12. The system of claim 8 , wherein: the set of terms are specified in a dictionary; and the dictionary specifies a list of terms, and a Uniform Resource Locator (URL) associated with each term included in the list of terms.
13. The system of claim 12 , wherein placing links corresponding to the set of terms in the document at the subset of the textual portions by: identifying, based on the dictionary, a URL associated with each term included in the set of terms, and placing links representing URLs identified to be associated with the set of terms in the document at the subset of the textual portions.
14. A non-transitory computer-readable storage device encoded with computer program instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: accessing a link distribution function specifying a desired spatial configuration for placing links in a document; determining that a set of terms are present within the document, wherein each term included in the set of terms is predetermined to be associated with a corresponding link; identifying textual portions of the document that correspond to locations of the set of terms determined to be present within the document; determining that a subset of the textual portions satisfy the link distribution function, wherein each textual portion included in the subset of the textual portions includes a spatial distribution of terms that satisfies the desired spatial configuration for placing links in the document; and placing links corresponding to the set of terms in the document at the subset of the textual portions.
15. The device of claim 14 , wherein: the desired spatial configuration indicates a maximum number of links to be placed in a given textual region of the document; and a number of terms determined to be present within each textual portion included in the subset of the textual portions is below the maximum number of links indicated by the desired spatial configuration.
16. The device of claim 15 , wherein the operations further comprise applying a Monte-Carlo function to the link distribution function.
A system and method for optimizing network performance in wireless communication networks addresses the challenge of efficiently managing data transmission links to minimize latency and maximize throughput. The system includes a network analyzer that monitors traffic patterns and link quality metrics across multiple nodes in a wireless mesh network. A link distribution function dynamically allocates data packets to available communication links based on real-time conditions, such as signal strength, interference levels, and node congestion. The system further incorporates a predictive model that forecasts future network demands and adjusts link allocations accordingly. To enhance accuracy, the system applies a Monte-Carlo function to the link distribution function, simulating multiple possible network scenarios to identify optimal routing paths and resource allocations. This probabilistic approach improves decision-making by accounting for uncertainties in network behavior. The system also includes a feedback mechanism that continuously updates the predictive model based on observed performance, ensuring adaptive optimization over time. The overall solution aims to improve reliability and efficiency in wireless data transmission by intelligently distributing traffic across available links while mitigating potential bottlenecks.
17. The device of claim 16 , wherein applying the Monte-Carlo function comprises applying a Metropolis-Hastings Monte Carlo function that minimizes a quantity of operations that are performed in determining that the subset of the textual portions satisfy the link distribution function.
This invention relates to a computational device for processing textual data to optimize link distribution within a network. The problem addressed is the computational inefficiency in determining subsets of textual portions that satisfy a predefined link distribution function, which is critical for tasks like network routing, information retrieval, or content recommendation. The device includes a processor configured to apply a Monte-Carlo function to a set of textual portions to identify a subset that meets the link distribution function. The Monte-Carlo function is specifically a Metropolis-Hastings algorithm, which is a Markov chain Monte Carlo method used for sampling from a probability distribution. The algorithm is optimized to minimize the number of operations required to determine the subset, improving computational efficiency. The Metropolis-Hastings algorithm works by proposing candidate subsets and accepting or rejecting them based on a defined acceptance criterion, iteratively refining the solution. This approach reduces the need for exhaustive searches or brute-force methods, which are computationally expensive. The device may also include additional components, such as memory storage for the textual portions and input/output interfaces for receiving and transmitting data. The invention is particularly useful in large-scale systems where efficient link distribution is essential, such as in social networks, web indexing, or distributed computing environments. By leveraging the Metropolis-Hastings algorithm, the device ensures that the subset selection process is both accurate and resource-efficient.
18. The device of claim 14 , wherein: the set of terms are specified in a dictionary; and the dictionary specifies a list of terms, and a Uniform Resource Locator (URL) associated with each term included in the list of terms.
This invention relates to a system for managing and retrieving information using a dictionary-based approach. The system addresses the problem of efficiently organizing and accessing data by associating terms with specific Uniform Resource Locators (URLs), enabling quick retrieval of relevant information. The dictionary contains a predefined list of terms, each linked to a corresponding URL, allowing users to access associated resources directly. The system may include a user interface for inputting terms and displaying the linked URLs, facilitating seamless navigation to the desired information. Additionally, the system may support dynamic updates to the dictionary, ensuring that the term-URL associations remain current and relevant. The invention enhances information retrieval by reducing search time and improving accuracy, particularly in environments where quick access to specific resources is critical. The dictionary structure ensures consistency and scalability, allowing for easy expansion as new terms and URLs are added. This approach is particularly useful in applications such as knowledge management, educational platforms, or any system requiring structured access to distributed information.
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March 30, 2021
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